Triple
T18378320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapture (1965 film) |
E446373
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Joseph
Joseph is the troubled young protagonist of the 1965 French psychological drama film "Rapture."
|
E1321286
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Joseph | Statement: [Rapture (1965 film), mainCharacter, Joseph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Context triple: [Rapture (1965 film), mainCharacter, Joseph]
-
A.
Joseph
Joseph is the given name of the 19th-century Prussian landscape architect Peter Joseph Lenné, renowned for designing many prominent parks and gardens in Germany.
-
B.
Joseph
Joseph is the middle name of Robert Joseph Morrow, a personal given name commonly used in English-speaking countries.
-
C.
Joseph
Joseph is the given name of Joe DiMaggio, the legendary American baseball center fielder for the New York Yankees.
-
D.
Joseph
Joseph is the birth name of T Bone Burnett, the American musician and acclaimed record producer known for his work on influential albums and film soundtracks.
-
E.
Joseph
Joseph, better known as Chief Joseph, was a prominent Nez Perce leader renowned for his resistance to U.S. government policies and his leadership during the Nez Perce War of 1877.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Joseph Triple: [Rapture (1965 film), mainCharacter, Joseph]
Generated description
Joseph is the troubled young protagonist of the 1965 French psychological drama film "Rapture."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joseph Target entity description: Joseph is the troubled young protagonist of the 1965 French psychological drama film "Rapture."
-
A.
Joseph
Joseph is the given name of Joe Viterelli, an American character actor known for his tough-guy roles in films like "Analyze This."
-
B.
Joseph
Joseph is the first name of American actor Tobin Bell, best known for portraying the Jigsaw killer in the "Saw" horror film franchise.
-
C.
Joseph
Joseph is the birth name of American comedian, actor, and filmmaker Jerry Lewis, a legendary figure in 20th-century entertainment.
-
D.
Joseph
Joseph is the given first name of American singer and entertainer Joey Fatone, best known as a member of the boy band *NSYNC.
-
E.
Joseph
Joseph is the husband of Mary in the New Testament and the earthly guardian of Jesus, venerated in Christianity as a model of humility, obedience, and fatherhood.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179919c881908d55ea24f93c5827 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77ea9f481909d252120346498ab |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d83fe9a08190b18b9f61ee606372 |
completed | May 13, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d915215c819090023094f1fc47f1 |
completed | May 13, 2026, 1:51 a.m. |
Created at: April 10, 2026, 10:45 a.m.